Nanostructured complex oxides as a route towards thermal behavior in artificial spin ice systems
Rajesh V. Chopdekar, Binzhi Li, Thomas A. Wynn, Michael S. Lee, Yue, Jia, Zhiqi Liu, Michael D. Biegalski, Scott T. Retterer, Anthony T. Young,, Andreas Scholl, Yayoi Takamura

TL;DR
This study demonstrates how thermal annealing near the Curie temperature influences the magnetic configurations of nano-islands in artificial spin ice, enabling controlled exploration of their energy landscape.
Contribution
It introduces a method to thermally manipulate artificial spin ice configurations using nanostructured complex oxides near their Curie temperature.
Findings
Lower energy configurations are more likely when annealed just below T_C.
Thermal activation at 325 K allows nano-islands to explore their energy landscape.
Ensembles transition to lower energy states over time at this temperature.
Abstract
We have used soft x-ray photoemission electron microscopy to image the magnetization of single domain LaSrMnO nano-islands arranged in geometrically frustrated configurations such as square ice and kagome ice geometries. Upon thermal randomization, ensembles of nano-islands with strong inter-island magnetic coupling relax towards low-energy configurations. Statistical analysis shows that the likelihood of ensembles falling into low-energy configurations depends strongly on the annealing temperature. Annealing to just below the Curie temperature of the ferromagnetic film (T = 338 K) allows for a much greater probability of achieving low energy configurations as compared to annealing above the Curie temperature. At this thermally active temperature of 325 K, the ensemble of ferromagnetic nano-islands explore their energy landscape over time and eventually…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
